Published February 3, 2026
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HIGHER EDUCATION: ENHANCING LEARNING, PERSONALIZATION, AND ETHICAL CHALLENGES
Authors/Creators
- 1. Ministry of Higher Education, Science and Innovation of The Republic of Uzbekistan Uzbekistan State World Languages University Philology Faculty DDP ( Double Degree Programs) Scientific Supervisor
- 2. Ministry of Higher Education, Science and Innovation of The Republic of Uzbekistan Uzbekistan State World Languages University Philology Faculty DDP ( Double Degree Programs) Student
Description
This article explores the transformative impact of Artificial Intelligence (AI) on higher education, focusing on its potential to enhance learning experiences and enable unprecedented personalization. It examines how AI-powered tools facilitate adaptive learning, automated assessment, and data-driven insights to improve student outcomes and streamline administrative tasks. Concurrently, the paper addresses critical ethical considerations, including data privacy, algorithmic bias, the potential for academic dishonesty, and the imperative to preserve the human element in education.
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Additional details
References
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- Crawford, K. (2017). The Trouble with Bias. NIPS Workshop on Fairness, Accountability, and Transparency in Machine Learning.
- Du Boulay, B., Poulovassilis, A., Kotonya, N., & Vasalou, A. (2017). Intelligent Tutoring Systems: The Case of Learning to Program. Frontiers in ICT, 4, 1-13.
- Luckin, R., & Cukurova, M. (2019). Designing Educational Technologies in the Age of AI: A Learning Sciences-Driven Approach. British Journal of Educational Technology, 50(6), 2824-2838.
- Perelman, B. (2014). Grading Smarter, Not Harder: Using Artificial Intelligence to Assess Student Writing. Association for the Assessment of Learning in Higher Education.